Senior Data Scientist

National Oilwell Varco

Houston, United States of America

2 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Senior

Houston, United States of America

Amazon Web Services (AWS)

Business Analytics Applications

Azure

Data Governance

Data Visualization

Python

Machine Learning

SQL Databases

Cloud Platform System

Snowflake

Matplotlib

PySpark

Plotly

Machine Learning Operations

Streamlit Framework

Databricks

Programming Languages

Partner with business leaders to identify high-value opportunities in areas such as demand planning, capacity/production planning, procurement, and financial forecasting
Develop a firm understanding of specific business processes and real-world workflows
Work closely with cross-functional teams including domain experts, business analysts, data engineers and software engineers
Lead data science initiatives that impact operations globally across multiple business units
Define project scope, timelines and deliverables in collaboration with business leaders
Architect scalable machine learning and forecasting solutions within cloud platforms such as AWS, Azure, Databricks, and Snowflake
Ensure models are production-ready, robust, and maintainable with appropriate monitoring and retraining pipelines
Develop standardized methodologies and frameworks to ensure scalability and consistency across diverse environments
Ensure compliance with data governance, privacy, and security standards while scaling analytics solutions globally
Manage and mentor interns, junior data scientists and analysts
Translate advanced analytics results into strategic recommendations for VP and C-level leadership
Utilize programming languages such as SQL, Python for data manipulation, analysis and model development

Master's degree in a quantitative discipline
Five or more years of professional data science experience in manufacturing and/or supply chain environments
Hands-on experience working with ERP data and operational processes including order-to-cash, procure-to-pay, and demand-to-deliver
Proven ability to communicate complex or technical concepts clearly to both technical and non-technical audiences
Advanced proficiency in Python, SQL and PySpark; experience wrangling large relational datasets
Deep expertise in machine learning, forecasting and optimization
Experience deploying enterprise-scale solutions in cloud environments (AWS experience preferred)
Proficient in at least one data visualization library such as Matplotlib, Seaborn, or Plotly
Knowledge of Streamlit for building interactive data applications preferred
Familiarity with MLOps practices, CI/CD pipelines, and model lifecycle management
Demonstrated ability to drive business impact and ROI through analytics
Strong track record of executive-level communication and influence
Experience leading cross-functional teams across multiple geographies